Identification of hub genes and candidate drugs in hepatocellular carcinoma by integrated bioinformatics analysis.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is the third cancer-related cause of death in the world. Until now, the involved mechanisms during the development of HCC are largely unknown. This study aims to explore the driven genes and potential drugs in HCC.

Methods

Three mRNA expression datasets were used to analyze the differentially expressed genes (DEGs) in HCC. The bioinformatics approaches include identification of DEGs and hub genes, Gene Ontology terms analysis and Kyoto encyclopedia of genes and genomes enrichment analysis, construction of protein-protein interaction network. The expression levels of hub genes were validated based on The Cancer Genome Atlas, Gene Expression Profiling Interactive Analysis, and the Human Protein Atlas. Moreover, overall survival and dis

SUBMITTER: Chen X 

PROVIDER: S-EPMC8483840 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature